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InferenceObjects.jl is a Julia implementation of the InferenceData schema for storing results of Bayesian inference. Its purpose is to serve the following three goals:

  1. Usefulness in the analysis of Bayesian inference results.
  2. Reproducibility of Bayesian inference analysis.
  3. Interoperability between different inference backends and programming languages.

The implementation consists primarily of the InferenceData and Dataset structures. InferenceObjects also provides the function convert_to_inference_data, which may be overloaded by inference packages to define how various inference outputs can be converted to an InferenceData.

For examples of how InferenceData can be used, see the ArviZ.jl documentation.